Lisa Singh is a Professor in the Department of Computer Science at Georgetown University. Broadly, her research interests are in data-centric computing – data mining, data privacy, data science, data visualization, and databases. She has authored/co-authored over 50 peer reviewed publications and book chapters. Her research has been supported by the National Science Foundation, the Office of Naval Research, the Social Science and Humanities Research Council, and the Department of Defense. With ISIM, LLNL, York University and other NGOs she works on understanding different ways to use big data to better understand movement patterns of forced migration. Some of her other interdisciplinary projects include studying privacy on the web (adversarial inference), dolphin social structures with the Shark Bay Dolphin Research project (graph inference and social mining using incomplete and uncertain data), and learning from open source big data for social science research related to public opinion, election dynamics, and child behavior. Dr. Singh's research related to the 2016 election has been cited by the Huffington Post, CNN, and the Hill. Dr. Singh has also helped organize three workshops involving future directions of big data research, has served on numerous organizing and program committees, and is currently involved in different organizations working on increasing participation of women in computing and integrating computational thinking into K-12 curricula. She received her B.S.E. from Duke University and her M.S. and Ph.D. from Northwestern University.